Author

V. Pejović

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#artificial intelligence Preprint Oct 2026

Should SLMs be in the Driver's Seat? A Study of Local Models as Interpreters in Cloud-Written Agent Programs

An intermediate architecture is explored, in which the cloud-written program defers bounded questions over user data to a small local model through an ordinary function call, which improves the success rate of a code-only agent in all six combinations of backbone model and test partition.

Boris Radovič, Marco Canini, Veljko Pejović · 0 citations

Open access Jul 2026

Label-free dataset profiling for federated client clustering

This work introduces CoLEDS, a method for profiling unlabeled client datasets with minimal computational overhead that yields federatively trained models that are better aligned with individual data distributions and enables appropriate model assignment even for clients that do not participate in federated training.

Boris Radovič, Marco Canini, V. Pejović · Data mining and knowledge di... · 0 citations